Cities with the Highest Female / Male Ratio in Pennsylvania

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Female / Male Ratio
Population
Families and Households
Female Fertility
Female Fertility (Unmarried)
Race (Community Size)
Race (Percentage)
Ancestry (Community Size)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Ancestry (Percentage)
AfghanAfricanAlaska NativeAlaskan AthabascanAlbanianAleutAlsatianAmericanApacheArabArapahoArgentineanArmenianAssyrian / Chaldean / SyriacAustralianAustrianBahamianBangladeshiBarbadianBasqueBelgianBelizeanBermudanBhutaneseBlackfeetBolivianBrazilianBritishBritish West IndianBulgarianBurmeseCajunCambodianCanadianCape VerdeanCarpatho RusynCelticCentral AmericanCentral American IndianCherokeeCheyenneChickasawChileanChineseChippewaChoctawColombianColvilleComancheCosta RicanCreeCreekCroatianCrowCubanCypriotCzechCzechoslovakianDanishDelawareDominicanDutchDutch West IndianEastern EuropeanEcuadorianEgyptianEnglishEstonianEthiopianEuropeanFijianFilipinoFinnishFrenchFrench American IndianFrench CanadianGermanGerman RussianGhanaianGreekGuamanian / ChamorroGuatemalanGuyaneseHaitianHmongHonduranHopiHoumaHungarianIcelanderIndian (Asian)IndonesianInupiatIranianIraqiIrishIroquoisIsraeliItalianJamaicanJapaneseJordanianKenyanKiowaKoreanLaotianLatvianLebaneseLiberianLithuanianLumbeeLuxembourgerMacedonianMalaysianMalteseMarshalleseMenomineeMexicanMexican American IndianMongolianMoroccanNative HawaiianNavajoNepaleseNew ZealanderNicaraguanNigerianNorthern EuropeanNorwegianOkinawanOsageOttawaPaiutePakistaniPalestinianPanamanianParaguayanPennsylvania GermanPeruvianPimaPolishPortuguesePotawatomiPuebloPuerto RicanPuget Sound SalishRomanianRussianSalvadoranSamoanScandinavianScotch-IrishScottishSeminoleSenegaleseSerbianShoshoneSierra LeoneanSiouxSlavicSlovakSloveneSomaliSouth AfricanSouth AmericanSouth American IndianSoviet UnionSpaniardSpanishSpanish AmericanSpanish American IndianSri LankanSubsaharan AfricanSudaneseSwedishSwissSyrianTaiwaneseThaiTlingit-HaidaTohono O'OdhamTonganTrinidadian and TobagonianTsimshianTurkishU.S. Virgin IslanderUgandanUkrainianUruguayanUteVenezuelanVietnameseWelshWest IndianYakamaYaquiYugoslavianYumanYup'ikZimbabwean
Immigrant Origin (Total)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Immigrant Origin (Percentage)
AfghanistanAfricaAlbaniaArgentinaArmeniaAsiaAustraliaAustriaAzoresBahamasBangladeshBarbadosBelarusBelgiumBelizeBoliviaBosnia and HerzegovinaBrazilBulgariaBurma / MyanmarCabo VerdeCambodiaCameroonCanadaCaribbeanCentral AmericaChileChinaColombiaCongoCosta RicaCroatiaCubaCzechoslovakiaDenmarkDominicaDominican RepublicEastern AfricaEastern AsiaEastern EuropeEcuadorEgyptEl SalvadorEnglandEritreaEthiopiaEuropeFijiFranceGermanyGhanaGreeceGrenadaGuatemalaGuyanaHaitiHondurasHong KongHungaryIndiaIndonesiaIranIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKoreaKuwaitLaosLatin AmericaLatviaLebanonLiberiaLithuaniaMalaysiaMexicoMicronesiaMiddle AfricaMoldovaMoroccoNepalNetherlandsNicaraguaNigeriaNorth MacedoniaNorthern AfricaNorthern EuropeNorwayOceaniaPakistanPanamaPeruPhilippinesPolandPortugalRomaniaRussiaSaudi ArabiaScotlandSenegalSerbiaSierra LeoneSingaporeSomaliaSouth AfricaSouth AmericaSouth Central AsiaSouth Eastern AsiaSouthern EuropeSpainSri LankaSt. Vincent and the GrenadinesSudanSwedenSwitzerlandSyriaTaiwanThailandTrinidad and TobagoTurkeyUgandaUkraineUruguayUzbekistanVenezuelaVietnamWest IndiesWestern AfricaWestern AsiaWestern EuropeYemenZaireZimbabwe
Income
Income (Families)
Income (Households)
Poverty
Poverty (Families)
Unemployment
Employment Occupations
Employment Industries
Employer Class
Commute Time
Commute Means
School Enrollment
Education by Degree Field
Occupancy
Finances
Physical Characteristics
Pennsylvania
Compare Cities
Comparison Subject

Map of Cities with the Highest Female / Male Ratio in Pennsylvania

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Cities with the Highest Female / Male Ratio in Pennsylvania Map

Cities with the Highest Female / Male Ratio in Pennsylvania

City Females / 100 Males vs State vs National
1.Hamorton650.00102.62(+547)#1101.64(+548)#41
2.Inkerman346.58102.62(+244)#2101.64(+245)#154
3.Casanova334.69102.62(+232)#3101.64(+233)#168
4.Monument311.76102.62(+209)#4101.64(+210)#199
5.Peru306.25102.62(+204)#5101.64(+205)#213
6.Crabtree285.71102.62(+183)#6101.64(+184)#239
7.Cambridge Springs Borough258.35102.62(+156)#7101.64(+157)#308
8.Wopsononock250.00102.62(+147)#8101.64(+148)#339
9.Homewood At Martinsburg241.89102.62(+139)#9101.64(+140)#367
10.Waller228.57102.62(+126)#10101.64(+127)#428
11.Lima224.02102.62(+121)#11101.64(+122)#456
12.Atlantic220.00102.62(+117)#12101.64(+118)#474
13.Kiskimere213.64102.62(+111)#13101.64(+112)#533
14.Slippery Rock University212.22102.62(+110)#14101.64(+111)#548
15.Heilwood212.00102.62(+109)#15101.64(+110)#550
16.Loretto Borough202.76102.62(+100)#16101.64(+101)#618
17.Edenborn202.56102.62(+99.9)#17101.64(+101)#619
18.Sidman200.00102.62(+97.4)#18101.64(+98.4)#645
19.Ore Hill200.00102.62(+97.4)#19101.64(+98.4)#649
20.Goodville198.94102.62(+96.3)#20101.64(+97.3)#694
21.North Philipsburg197.42102.62(+94.8)#21101.64(+95.8)#707
22.Hublersburg195.65102.62(+93.0)#22101.64(+94.0)#724
23.Oberlin195.61102.62(+93.0)#23101.64(+94.0)#725
24.Force195.60102.62(+93.0)#24101.64(+94.0)#726
25.Culp194.12102.62(+91.5)#25101.64(+92.5)#739
26.Seven Springs Borough192.31102.62(+89.7)#26101.64(+90.7)#760
27.Greenock191.99102.62(+89.4)#27101.64(+90.3)#765
28.Nuremberg191.30102.62(+88.7)#28101.64(+89.7)#772
29.Coal Center Borough190.91102.62(+88.3)#29101.64(+89.3)#776
30.Valencia Borough188.51102.62(+85.9)#30101.64(+86.9)#807
31.Reservoir187.50102.62(+84.9)#31101.64(+85.9)#816
32.Arcadia University187.18102.62(+84.6)#32101.64(+85.5)#822
33.Southview184.38102.62(+81.8)#33101.64(+82.7)#861
34.Westwood181.92102.62(+79.3)#34101.64(+80.3)#900
35.Grapeville181.15102.62(+78.5)#35101.64(+79.5)#910
36.Mcknightstown180.37102.62(+77.8)#36101.64(+78.7)#922
37.Commodore179.71102.62(+77.1)#37101.64(+78.1)#939
38.Marion Center Borough176.40102.62(+73.8)#38101.64(+74.8)#991
39.Morgan Hill176.06102.62(+73.4)#39101.64(+74.4)#999
40.Riceville175.00102.62(+72.4)#40101.64(+73.4)#1,020
41.West Milton174.90102.62(+72.3)#41101.64(+73.3)#1,029
42.Stevens174.87102.62(+72.3)#42101.64(+73.2)#1,030
43.Elrama172.53102.62(+69.9)#43101.64(+70.9)#1,072
44.Herminie172.50102.62(+69.9)#44101.64(+70.9)#1,074
45.Bobtown171.78102.62(+69.2)#45101.64(+70.1)#1,091
46.Orrtanna170.00102.62(+67.4)#46101.64(+68.4)#1,127
47.Grindstone169.13102.62(+66.5)#47101.64(+67.5)#1,151
48.Bryn Mawr168.55102.62(+65.9)#48101.64(+66.9)#1,168
49.Mingoville167.50102.62(+64.9)#49101.64(+65.9)#1,191
50.New Market167.49102.62(+64.9)#50101.64(+65.8)#1,192
51.Slovan164.62102.62(+62.0)#51101.64(+63.0)#1,261
52.Laurelton163.31102.62(+60.7)#52101.64(+61.7)#1,302
53.Milford Borough161.48102.62(+58.9)#53101.64(+59.8)#1,345
54.Corsica Borough161.39102.62(+58.8)#54101.64(+59.7)#1,351
55.Friesville159.79102.62(+57.2)#55101.64(+58.2)#1,404
56.South Philipsburg159.52102.62(+56.9)#56101.64(+57.9)#1,416
57.Continental Courts159.36102.62(+56.7)#57101.64(+57.7)#1,422
58.Dauphin Borough159.35102.62(+56.7)#58101.64(+57.7)#1,423
59.West Sunbury Borough158.82102.62(+56.2)#59101.64(+57.2)#1,437
60.Eagle158.50102.62(+55.9)#60101.64(+56.9)#1,452
61.Coaldale Borough Bedford County157.58102.62(+55.0)#61101.64(+55.9)#1,493
62.Wagner157.14102.62(+54.5)#62101.64(+55.5)#1,509
63.Enlow156.93102.62(+54.3)#63101.64(+55.3)#1,515
64.Stiles155.12102.62(+52.5)#64101.64(+53.5)#1,605
65.Lincoln University154.36102.62(+51.7)#65101.64(+52.7)#1,638
66.Churchtown153.93102.62(+51.3)#66101.64(+52.3)#1,657
67.St Michael153.90102.62(+51.3)#67101.64(+52.3)#1,661
68.Shartlesville153.68102.62(+51.1)#68101.64(+52.0)#1,669
69.Dushore Borough153.59102.62(+51.0)#69101.64(+51.9)#1,674
70.Benton Borough153.54102.62(+50.9)#70101.64(+51.9)#1,678
71.Northwood153.45102.62(+50.8)#71101.64(+51.8)#1,681
72.Cheyney University153.33102.62(+50.7)#72101.64(+51.7)#1,687
73.Glen Rock Borough153.10102.62(+50.5)#73101.64(+51.5)#1,700
74.Woolrich153.04102.62(+50.4)#74101.64(+51.4)#1,704
75.East Uniontown152.87102.62(+50.3)#75101.64(+51.2)#1,713
76.Joffre152.87102.62(+50.3)#76101.64(+51.2)#1,714
77.Star Junction152.85102.62(+50.2)#77101.64(+51.2)#1,716
78.Byrnedale152.50102.62(+49.9)#78101.64(+50.9)#1,736
79.Park Crest152.38102.62(+49.8)#79101.64(+50.7)#1,744
80.Ehrenfeld Borough152.05102.62(+49.4)#80101.64(+50.4)#1,763
81.Beaverdale151.94102.62(+49.3)#81101.64(+50.3)#1,770
82.Highland Park151.65102.62(+49.0)#82101.64(+50.0)#1,787
83.Oakland Cdp Lawrence County151.58102.62(+49.0)#83101.64(+49.9)#1,794
84.Pen Mar151.50102.62(+48.9)#84101.64(+49.9)#1,800
85.Iola151.43102.62(+48.8)#85101.64(+49.8)#1,805
86.Baumstown150.75102.62(+48.1)#86101.64(+49.1)#1,833
87.Harmonsburg150.68102.62(+48.1)#87101.64(+49.0)#1,838
88.Allport150.00102.62(+47.4)#88101.64(+48.4)#1,857
89.Eyers Grove150.00102.62(+47.4)#89101.64(+48.4)#1,867
90.Martinsburg Junction150.00102.62(+47.4)#90101.64(+48.4)#1,878
91.Ganister150.00102.62(+47.4)#91101.64(+48.4)#1,890
92.Green Hills Borough150.00102.62(+47.4)#92101.64(+48.4)#1,891
93.Patterson Heights Borough148.55102.62(+45.9)#93101.64(+46.9)#1,938
94.Ford City Borough148.47102.62(+45.9)#94101.64(+46.8)#1,942
95.Pomeroy148.01102.62(+45.4)#95101.64(+46.4)#1,968
96.Waymart Borough147.68102.62(+45.1)#96101.64(+46.0)#1,997
97.Soudersburg147.54102.62(+44.9)#97101.64(+45.9)#2,005
98.Three Springs Borough147.24102.62(+44.6)#98101.64(+45.6)#2,020
99.Mohrsville146.93102.62(+44.3)#99101.64(+45.3)#2,039
100.Walnuttown146.81102.62(+44.2)#100101.64(+45.2)#2,047

Common Questions

What are the Top 10 Cities with the Highest Female / Male Ratio in Pennsylvania?
Top 10 Cities with the Highest Female / Male Ratio in Pennsylvania are:
#1
346.58
#2
311.76
#3
285.71
#4
228.57
#5
224.02
#6
220.00
#7
213.64
#8
212.22
#9
212.00
#10
202.56
What city has the Highest Female / Male Ratio in Pennsylvania?
Inkerman has the Highest Female / Male Ratio in Pennsylvania with 346.58.
What is the Famale to Male Ratio in the State of Pennsylvania?
Famale to Male Ratio in Pennsylvania is 102.62.
What is the Famale to Male Ratio in the United States?
Famale to Male Ratio in the United States is 101.64.